Association between Gut Microbiota Composition and Copy Number Variations in Human Genes <i>FAM66D</i> and <i>TAS2R43</i>

The impact of the gut microbiota on human health has attracted increasing attention. However, the factors affecting the gut microbiota need more in-depth research. In this work, we analyzed the impact of the gut microbiota at the genetic levels, mainly gene copy number variations (CNVs). We used Permutational Multivariate Analysis of Variance (PERMANOVA, Adonis) analysis to assess the association between CNVs and the gut microbiota. The results showed that copy numbers of 50 genes varied among the cohort. Among them, the CNVs of 7 genes, including <i>TBC1D3L</i>, <i>OR4C6</i>, <i>NPIPB15</i>, <i>PDPR</i>, <i>USP17L7</i>, <i>FAM66D</i> and <i>TAS2R43</i>, were related to the gut microbiota. In addition, among these genes, we systematically analyzed the relationship between CNVs of <i>FAM66D</i> and <i>TAS2R43</i> with the gut microbiota. We hypothesize that there exists a certain association between genetic information in the human genome (such as CNVs) and human behavior as well as gut microbiota.

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Journal
Journal of Microbiology and Biotechnology
Published
2025-07-14
DOI
https://doi.org/10.4014/jmb.2504.04011
Primary Topic
Gut microbiota and health
Type
article
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article

Association between Gut Microbiota Composition and Copy Number Variations in Human Genes FAM66D and TAS2R43

Jing Wang, Zhenyi Qiao, Weiwei Qi, Haoyu Guo
Journal of Microbiology and Biotechnology
Gut microbiota and health
article

Association between Gut Microbiota Composition and Copy Number Variations in Human Genes FAM66D and TAS2R43

Jing Wang, Zhenyi Qiao, Weiwei Qi, Haoyu Guo
article en

Abstract

The impact of the gut microbiota on human health has attracted increasing attention. However, the factors affecting the gut microbiota need more in-depth research. In this work, we analyzed the impact of the gut microbiota at the genetic levels, mainly gene copy number variations (CNVs). We used Permutational Multivariate Analysis of Variance (PERMANOVA, Adonis) analysis to assess the association between CNVs and the gut microbiota. The results showed that copy numbers of 50 genes varied among the cohort. Among them, the CNVs of 7 genes, including <i>TBC1D3L</i>, <i>OR4C6</i>, <i>NPIPB15</i>, <i>PDPR</i>, <i>USP17L7</i>, <i>FAM66D</i> and <i>TAS2R43</i>, were related to the gut microbiota. In addition, among these genes, we systematically analyzed the relationship between CNVs of <i>FAM66D</i> and <i>TAS2R43</i> with the gut microbiota. We hypothesize that there exists a certain association between genetic information in the human genome (such as CNVs) and human behavior as well as gut microbiota.

Journal of Microbiology and BiotechnologyVol. 35
Shanghai University (CN), Dairy Management (US)
Zero hunger
Openalex Percentile: Top 85%
Gut microbiota and health
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Association between Gut Microbiota Composition and Copy Number Variations in Human Genes <i>FAM66D</i> and <i>TAS2R43</i> — Jing Wang, Zhenyi Qiao, et al. · Journal of Microbiology and Biotechnology (2025) | TGRS Research Map | TGRS